Abstract The wider availability of large-scale datasets and reproducible algorithms has boosted the application of NLP to living languages. On the other hand, dead languages benefit from the availability of curated resources both to offset the sparseness of available data and to make data accessible to researchers. We present here AGVaLex, a computational valency lexicon automatically extracted from the Ancient Greek Dependency Treebank. It contains quantitative corpus-driven morphological, syntactic and lexical information about verbs and their direct and indirect arguments and has a wide range of applications for the study of Ancient Greek. To illustrate these applications, we offer a case study that compares the semantic flexibility of transitive verb formulae in archaic Greek epic to a non-formulaic corpus, with the goal of detecting unique patterns of variation. We also illustrate the possibilities afforded by AGVaLex to scholars with a less extensive background in computational corpus-based research.